Run
54153

Run 54153

Task 1730 (Learning Curve) credit-g Uploaded 08-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.Bagging(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging(1)_P100
weka.Bagging(1)_S1
weka.Bagging(1)_num-slots1
weka.Bagging(1)_I10
weka.Bagging(1)_Wweka.classifiers.functions.SPegasos

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7592 ± 0.0501
Per class
Build CPU time
0.4967
Build memory
1993616139.9111
F measure
0.7495 ± 0.0258
Per class
Kappa
0.393 ± 0.0682
KB relative information score
0.3245 ± 0.0571
Mean absolute error
0.2685 ± 0.0213
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7468 ± 0.0282
Per class
Predictive accuracy
0.755 ± 0.0232
Prior entropy
0.8813
Recall
0.755 ± 0.0232
Per class
Relative absolute error
0.639 ± 0.0506
Root mean prior squared error
0.4583
Root mean squared error
0.4451 ± 0.0299
Root relative squared error
0.9712 ± 0.0653
SciMark benchmark
1615.5755